Hitoshi Suzuki

8.4k total citations · 1 hit paper
244 papers, 6.2k citations indexed

About

Hitoshi Suzuki is a scholar working on Genetics, Molecular Biology and Ecology. According to data from OpenAlex, Hitoshi Suzuki has authored 244 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Genetics, 85 papers in Molecular Biology and 80 papers in Ecology. Recurrent topics in Hitoshi Suzuki's work include Genetic diversity and population structure (91 papers), Animal Ecology and Behavior Studies (63 papers) and Evolution and Paleontology Studies (38 papers). Hitoshi Suzuki is often cited by papers focused on Genetic diversity and population structure (91 papers), Animal Ecology and Behavior Studies (63 papers) and Evolution and Paleontology Studies (38 papers). Hitoshi Suzuki collaborates with scholars based in Japan, Russia and Australia. Hitoshi Suzuki's co-authors include Kimiyuki Tsuchiya, Toshifumi Tsukahara, Jun J. Sato, Susumu Sakurai, Tetsuji Hosoda, Masahiro A. Iwasa, Kenta Moriwaki, Mieczysław Wolsan, Kevin L. Campbell and Ken Aplin and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Hitoshi Suzuki

228 papers receiving 6.0k citations

Hit Papers

Characterization of RNase R-digested cellular RNA source ... 2006 2026 2012 2019 2006 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Characterization of RNase R-digested cellular RNA source that consists of lariat and circular RNAs from pre-mRNA splicing
    2006 547 citations Hitoshi Suzuki profile →

Peers

Hitoshi Suzuki
David M. Irwin Canada
Stephen J. O’Brien United States
Wesley C. Warren United States
Axel Janke Germany
Marilyn B. Renfree Australia
Keijo Viiri Finland
Tomàs Marquès‐Bonet Spain
Carmela Gissi Italy
Jay F. Storz United States
Paul Hoover United States
David M. Irwin Canada
Hitoshi Suzuki
Citations per year, relative to Hitoshi Suzuki Hitoshi Suzuki (= 1×) peers David M. Irwin

Countries citing papers authored by Hitoshi Suzuki

Since Specialization
Citations

This map shows the geographic impact of Hitoshi Suzuki's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hitoshi Suzuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hitoshi Suzuki more than expected).

Fields of papers citing papers by Hitoshi Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hitoshi Suzuki. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hitoshi Suzuki. The network helps show where Hitoshi Suzuki may publish in the future.

Co-authorship network of co-authors of Hitoshi Suzuki

This figure shows the co-authorship network connecting the top 25 collaborators of Hitoshi Suzuki. A scholar is included among the top collaborators of Hitoshi Suzuki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hitoshi Suzuki. Hitoshi Suzuki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kinoshita, Gohta, Masashi Harada, Shoji Tatsumoto, et al.. (2025). Population genetic structure of 2 mole species (Mogera imaizumii and M. wogura) in the Japanese Archipelago. Journal of Mammalogy. 106(3). 576–586.
2.
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Endo, Toshinori, et al.. (2024). Inference of selective forces on house mouse genomes during secondary contact in East Asia. Genome Research. 34(3). 366–375. 2 indexed citations
4.
Kinoshita, Gohta, et al.. (2024). Ice age land bridges to continental islands: Repeated migration of the forest‐dwelling sable in northeastern Asia. Journal of Biogeography. 51(5). 924–939. 3 indexed citations
5.
6.
Kawai, Yosuke, Toyoyuki Takada, Toshihiko Shiroishi, et al.. (2022). Insights into Mus musculus Population Structure across Eurasia Revealed by Whole-Genome Analysis. Genome Biology and Evolution. 14(5). 13 indexed citations
7.
Yamamoto, Masanobu, et al.. (2022). Reconstruction of the Eukaryotic Communities in Beppu Bay Over the Past 50 Years Based on Sedimentary DNA Barcoding. Journal of Geophysical Research Biogeosciences. 127(6). 3 indexed citations
8.
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Suzuki, Hitoshi. (2020). Evolutionary history of the subgenus Mus in Eurasia with special emphasis on the House Mouse Mus musculus. Records of the Australian Museum. 72(5). 317–323. 1 indexed citations
10.
Bawm, Saw, et al.. (2020). Late Quaternary Environmental and Human Impacts on the Mitochondrial DNA Diversity of Four Commensal Rodents in Myanmar. Journal of Mammalian Evolution. 28(2). 497–509. 3 indexed citations
11.
Suzuki, Hitoshi, et al.. (2020). Mouse Hair Significantly Lightened Through Replacement of the Cysteine Residue in the N-Terminal Domain of Mc1r Using the CRISPR/Cas9 System. Journal of Heredity. 111(7). 640–645. 7 indexed citations
12.
Kinoshita, Gohta, Mitsuo Nunome, A. P. Kryukov, et al.. (2019). Contrasting phylogeographic histories between the continent and islands of East Asia: Massive mitochondrial introgression and long-term isolation of hares (Lagomorpha: Lepus). Molecular Phylogenetics and Evolution. 136. 65–75. 17 indexed citations
13.
Nunome, Mitsuo, et al.. (2018). Evolutionary Dynamics of Copy Number and Meiotic Recombination in Murine 5S rDNA: Possible Involvement of Natural Selection. Journal of Molecular Evolution. 86(5). 312–323. 3 indexed citations
14.
Suzuki, Hitoshi, Yoshitsugu Aoki, T. Kameyama, et al.. (2016). Endogenous Multiple Exon Skipping and Back-Splicing at the DMD Mutation Hotspot. International Journal of Molecular Sciences. 17(10). 1722–1722. 36 indexed citations
15.
Oguchi, Takeshi, Fumito Koike, Hitoshi Suzuki, et al.. (2010). Biodiversity mapping by citizens based on an indicator species survey in suburban Chigasaki City.. 15(2). 297–307. 1 indexed citations
16.
Matsumoto, Ayumi, et al.. (2007). The emergence of drug-resistant Streptococcus pneumoniae and host risk factors for carriage of drug-resistant genes in northeastern Japan.. PubMed. 60(1). 10–3. 8 indexed citations
17.
Suzuki, Hitoshi, et al.. (2002). [Gene-geographical variation and genetic differentiation in red-backed voles of the genus Clethrionomys (Rodentia, Cricetidae) in the Okhotskii region].. PubMed. 38(5). 655–64. 2 indexed citations
18.
Suzuki, Hitoshi, Shigeharu Wakana, Hiromichi Yonekawa, et al.. (1996). Variations in ribosomal DNA and mitochondrial DNA among chromosomal species of subterranean mole rats. Molecular Biology and Evolution. 13(1). 85–92. 18 indexed citations
19.
Suzuki, Hitoshi, Naohiko T. Miyashita, Kenta Moriwaki, et al.. (1986). Evolutionary implication of heterogeneity of the nontranscribed spacer region of ribosomal DNA repeating units in various subspecies of Mus musculus.. Molecular Biology and Evolution. 3(2). 126–37. 74 indexed citations
20.
Suzuki, Hitoshi, et al.. (1978). . MEMBRANE. 3(6). 427–434. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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